Your Role

We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.

As a Lead Data Scientist, your key responsibilities will include:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
• Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.

We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.

Must-Haves

• Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
• Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Director, Forward Deployed Engineering

At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.

We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.

This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap.

You Will

• Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
• Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
• Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
• Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last.
• Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
• Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.
• Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities.
• Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high.

Ideally You’d Have

• 10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar).
• A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team.
• Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles.
• Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling.
• Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements.
• A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments.
• Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction.
• Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar.

Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Infrastructure Database team responsible for managing and optimising large-scale database systems supporting research and trading activities. The team works closely with Quantitative Researchers, Developers, and Data Engineers to ensure reliability, scalability, and performance of critical data infrastructure.

Your Future Role within QRT
You will:

• Administer and maintain ClickHouse clusters in distributed environments
• Configure and manage replication, sharding, and distributed table architectures
• Operate and maintain ClickHouse Keeper or ZooKeeper
• Manage data lifecycle processes including partitioning, TTL, and merge operations
• Monitor database performance and troubleshoot issues in high-throughput environments
• Optimise query performance through indexing strategies, partitioning, and projections
• Manage system resources including CPU, memory, and disk I/O for database workloads
• Design and implement high availability and disaster recovery solutions
• Support database environments across production and non-production setups
• Implement and maintain access control, roles, and security policies
• Work with data ingestion pipelines including streaming and batch frameworks
• Contribute to database reliability, observability, and scalability improvements

Your Present Skillset

• 5+ years of experience in database administration in production environments
• Strong experience with ClickHouse in distributed or clustered setups
• Solid understanding of replication, sharding, and distributed database architectures
• Experience with ClickHouse Keeper or ZooKeeper
• Strong knowledge of performance tuning, monitoring, and troubleshooting
• Experience supporting high-ingestion and large-scale analytical workloads
• Proficiency in SQL and database design principles
• Experience with UNIX/Linux systems and system-level performance tuning
• Knowledge of high availability and disaster recovery strategies
• Familiarity with data ingestion frameworks such as Kafka or streaming pipelines
• Experience with PostgreSQL or SQL Server
• Strong attention to detail with a focus on testing and documentation
• Ability to work effectively in a collaborative environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

As part of the Data Infrastructure team you will be supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure. We call it data infrastructure engineering, also known as DataOps or Database Administration or SRE.

The role is a mixture of development of tooling and operational support for our platforms, two aspects that go hand-in-hand. It requires attention to detail and curiousity about how the systems work under the hood, and gives you a wide base of skills from low level system tuning to general coding. 

We manage four main storage platforms, namely:

• Apache Solr (~2.2 PB)
• Apache HBase (~450 TB)
• PostgreSQL (~15 TB)
• Kafka (~60 TB)

These platforms are all open source, written in Java, Scala or C, and we maintain in-house builds and patching of them. We use a variety of open-source and in-house developed tooling to manage these services, mostly written in Rust and Python, which run primarily on hundreds of servers in multiple data centres and in the cloud.

We maintain a balance between project work and operational/ad-hoc work for all members in the team, whether they are senior or recent graduates, and your day-to-day work will be a mix of these.

The exact project work will depend on your experience, but we will scope it out collectively to ensure it is both achievable and delivers benefit. Some example projects given to recent graduates are:

• Coding mapreduce jobs to validate data between two multi-TB+ hbase clusters (to run in hours rather than months)
• Building out a python code stack to transparently migrate production clients between clusters (without losing any data or requiring any downtime)
• Building and testing new HBase builds and deploying them live (without putting everyone in Brandwatch out of a job)
• Creating a platform for rolling out our data management systems using Apache Airflow (to stop people re-writing custom job management systems)
• Rolling out a DR solution for hadoop on AWS (while keeping the system performant and not bankrupting the company)

If you're joining the team as a graduate engineer we'll be focusing on developing your knowledge of the storage platforms, how to program against them and how to troubleshoot issues. The aim is that you'd be able to help with the staging support by 3-6 months, and join the rest of the team supporting the production systems in 12 months. You'll also be expected to take a full part in the life of the team and, as your experience grows, start designing the infrastructure we run.

This role is based in Brighton, UK, but working remotely will be possible once the initial 6-12 months of training is complete.

Who we are looking for

In house training for the storage systems and our tooling is a necessary part of this role, but we are looking for someone with a keen interest in large scale storage infrastructure.A successful candidate will be expected to have the following:

• An interest in how computer infrastructure actually works, and a passion for learning
• Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
• Experience with Linux systems administration, including experience of trouble shooting
• Fluency with one or more scripting languages, ideally Bash or Python
• Experience helping your peers
• Pride in the quality of your work
• Experience with any of the following will be beneficial:
  • Development experience, in Python, Java, Rust, C/C++ or Golang.
  • Upstream open-source contributions
  • Academic research in scalability, distributed systems or storage infrastructure
  • Kubernetes experience, ideally running or writing Operators Experience with Docker and with CI/CD pipelines

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects 
• You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
• Experience in Python strongly preferred 
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

Please note that this position is based in London, United Kingdom - relocation and visa support is provided if required. 

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU WILL BE DOING

• Be part of a cross-functional team
• Build, test, and ship features/products using modern tools such as Vue, TypeScript, Jest, Webpack, and WebSockets
• Proactively take responsibility for the long-term code quality and frontend architecture
• Participate in mentorship of more junior colleagues and set them up for success
• Experience with or a strong desire to learn backend technologies such as Kotlin, PostgreSQL, Kafka, Docker, and Kubernetes is a plus

WHAT WE'RE LOOKING FOR

• You have developed and shipped scalable user-facing features using component-based UI frameworks
• You have a strong urge to deliver reliable and long-term maintainable software using development and continuous delivery
• You feel comfortable in an agile environment and have a self-driven personality with a “hands-on” approach, and are able to identify and solve problems independently and efficiently
• You are passionate about building a modern financial system that redefines how people invest their money in today’s markets
• You have a proven track record of mentoring and onboarding team members

WHY YOU SHOULD APPLY NOW 

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

We are seeking a talented Full-Stack Developer with strong experience in modern web technologies, ideally with deep expertise in Angular or a similar front-end framework, and solid capability across backend technologies. The ideal candidate is enthusiastic, collaborative and delivery-focused, with a strong sense of ownership and ability to pick things up quickly in a fast-paced environment. They will bring both a user-centred mindset and the technical depth required to deliver robust end-to-end solutions for both internal and external audiences.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working closely with our Client Solutions team to understand requirements, design solutions and ensure exceptional user experience from both a UI and data quality perspective. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.

Your responsibilities will include: 

• Build, enhance and maintain high-quality, well-tested web applications using Angular and C#
• Contribute to UI architecture, component design, reusability and performance
• Ensure our UIs are intuitive, responsive and accessible across devices and browsers
• Design and implement backend services, APIs and data integrations
• Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support
• Build high-quality, well-tested code with automated test coverage
• Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions
• Support production systems, investigate issues and implement fixes where required
• Collaborate through code reviews, design discussions, and knowledge sharing
• Build domain knowledge in both business and technology areas

What we are looking for: 

• A bachelor’s or master’s degree in a STEM subject
• 3+ years of full-time professional software development experience
• Strong experience with Angular (preferred), React or other structured modern front-end framework
• Comfortable with enterprise-grade backend technologies such as C#/.NET (preferred) or Java
• Good understanding of modern UI patterns, state management, component-driven development and web performance optimisation
• Solid understanding of application architecture, data modelling and integration patterns
• Strong problem-solving skills across multiple technologies and business domains
• Enthusiastic, collaborative and comfortable working closely with business stakeholders
• Strong communication skills with both technical and non-technical colleagues and a positive, can-do attitude
• Keen about using AI-assisted development tools and integrating them into daily workflow

What would be useful: 

• Experience in UX design principles and creating intuitive interfaces
•  Background in developing external and public facing websites with GDPR compliance
•  Familiarity with automated UI testing tools
• Experience managing bug triage and prioritisation based on user impact
• Basic knowledge of financial performance and risk metrics

Technologies we use: 

• Web: Angular, TypeScript
• Server-side: C#
• Data: MSSQL, PostgreSQL
• Cloud: AWS
• Deployment: Docker, Kubernetes

We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting.

You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology.

Your responsibilities will include: 

•    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability
•    Contribute to technical strategy and long-term platform direction
•    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers
•    Continuously improve existing services, libraries and shared components
•    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies
•    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions
•    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions
•    Build domain knowledge in business and technology areas
•    Evaluate new technologies pragmatically
•    Contribute to CI/CD pipelines, tooling and infrastructure-as-code

What we are looking for:

•    A bachelor's or master's degree in a STEM subject
•    5+ years of full-time professional software development experience
•    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred)
•    Strong computer science fundamentals
•    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice
•    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
•    Keen interest in keeping aware of latest technologies and a measured approach for adopting them
•    Comfortable problem solving across multiple technologies and business domains
•    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists
•    Ability to have constructive technical discussions

What would be useful:

•    An interest or experience with Angular and Typescript
•    Familiarity with performance-tuning PostgreSQL and/or MSSQL
•    Experience in financial services

Technologies we use: 

•    Web: Angular, TypeScript
•    Server-side: C#
•    Data: MSSQL, PostgreSQL
•    Cloud: AWS
•    Deployment: Docker, Kubernetes

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for transitioning existing client environments to Monolith AI’s next-generation platform, maintaining the high velocity needed to support a rapidly growing customer base. This team works closely with Customer Success and Product to ensure migrations are accurate, meet defined business requirements, and are delivered at scale.

About the Role:

Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project transitioning existing client environments to our next-generation platform. This role requires a developer who excels at rapidly understanding undocumented systems, extracting clarity from complex database structures, and building practical migration tooling in Python. You’ll work closely with our 15-person technical team (currently doubling), collaborating extensively with Customer Success and Product to ensure migrations meet defined business requirements while maintaining high velocity.

In this role, you will:

• Rapid System Understanding
  • Quickly grasp existing PostgreSQL database schemas through code inspection, team discussions, and reverse engineering
  • Understand new platform database architecture and how legacy data maps to the new structure
  • Work with pickle files and S3 object storage to understand serialized data structures
  • Extract clarity from poorly documented legacy systems through hands-on investigation
• Cross-Functional Requirements Gathering
  • Collaborate with Customer Success to understand client migration requirements and acceptance criteria
  • Partner with Product team to define and iterate on what constitutes acceptable migration outcomes
  • Balance technical constraints with business needs to establish pragmatic migration standards
  • Clarify ambiguous requirements and drive decisions on edge cases and trade-offs

• Product Context & Impact Analysis
  • Understand how database entries and S3-stored objects drive UI behavior and user workflows
  • Work with the existing team to learn system behavior through discussions and knowledge transfer
  • Identify how legacy data structures distribute across new platform tables and storage

• Migration Tool Development
  • Build Python migration scripts to convert legacy notebooks to the new platform format
  • Work with Flask and FastAPI layers to understand API interactions and data flow
  • Handle pickle file deserialization and data transformation logic
  • Implement validation against defined Customer Success requirements (not 100% data integrity)

• Velocity & Communication Management
  • Maintain rapid project pace with tight 3-month timeline
  • Provide frequent progress updates to the tech lead on development speed and blockers
  • Proactively communicate risks, timeline concerns, and decision points
  • Make pragmatic technical decisions that balance quality with delivery speed

• Testing & Validation Against Requirements
  • Test migration outputs against Customer Success acceptance criteria
  • Validate migrated notebooks meet defined business requirements
  • Identify and communicate gaps between migration output and requirements for product decisions

• Process Documentation & Knowledge Transfer
  • Document the migration process, key decisions, and data mapping logic
  • Create runbooks for executing migrations and handling common issues
  • Transfer knowledge primarily through discussions with the existing team
  • Prepare materials enabling team to execute and troubleshoot migrations post-contract

Who You Are:

• 3+ years of professional software development experience
• 2+ years working with Python in production environments
• Experience working with PostgreSQL databases and complex data structures
• Demonstrated ability to reverse engineer and understand undocumented systems
• Previous work in fast-paced, deadline-driven environments
• Programming: Strong Python proficiency including handling pickle files, data processing, and object serialization
• Databases: Solid understanding of PostgreSQL including complex data structures, relationships, and schema interpretation
• APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts
• Cloud Storage: Experience with S3 or similar object storage services for reading/writing data
• System Investigation: Ability to read and understand existing codebases to extract system behavior
• Version Control: Proficiency with Git and collaborative development workflows

Preferred:

• Experience with data migration or system modernization projects
• Background working with legacy systems or technical debt remediation
• Familiarity with Jupyter notebooks or similar computational environments
• Previous contract or consulting roles requiring rapid onboarding
• Experience in startup or scale-up environments with evolving requirements
• Knowledge of data serialization formats and their trade-offs
• Prior work extracting understanding from poorly documented codebases
• Experience balancing technical perfection with business pragmatism

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Rapid Learner: You can quickly understand complex, undocumented systems through code inspection and experimentation, and extract clarity from incomplete information.
• Pragmatic & Velocity-Driven: You thrive in fast-paced environments with tight deadlines, make practical trade-offs between thoroughness and speed, and maintain a strong bias toward action and delivery.
• Communicator: You proactively provide progress updates, surface blockers early, and clearly articulate technical concepts to non-technical stakeholders like Customer Success and Product.
• Collaborative: You build relationships quickly, partner effectively with Customer Success and Product to understand business requirements, and actively engage with the existing technical team to facilitate knowledge transfer.
• Owner: You take full ownership of deliverables despite a short contract timeline, and maintain composure and productivity in a dynamic, growing organisation (team currently doubling).
• Results-Focused: You prioritise work that directly impacts migration success, stay transparent about what’s achievable within timeline constraints, and are accountable when risks emerge.

Why Monolith AI?

At Monolith AI, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Staff Data Engineer will own and evolve Monolith’s platform data services and ETL offerings — the data onboarding, preparation, and lineage capabilities that turn fragmented, real‑world engineering data into production‑ready training and inference pipelines. You’ll partner with Product, Engineering, and Customer‑facing teams to deeply understand client data challenges and translate them into scalable, self‑serve data platform features.

About the Role:

We’re seeking a Staff Data Engineer who can own Monolith’s data platform surface end‑to‑end: from offline batch pipelines and large historical backfills to low‑latency, real‑time streaming data flows that power online inference and feedback loops. You’ll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets.

You’ll primarily work with internal teams (Product, Customer Success, Forward‑Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance.

In this role, you will:

• Own Monolith’s Data Platform & ETL Surface
• Lead the architecture and evolution of core data services for ingestion, transformation, validation, and lineage across training and inference workloads.
• Design and maintain end‑to‑end data models and schemas that make complex engineering, simulation, and telemetry data discoverable, reusable, and performant.
• Define standards, contracts, and APIs for how product teams and integrations interact with data services.
• Design & Operate Batch + Streaming Pipelines
• Build and operate batch pipelines for large‑scale historical imports, retraining data sets, and migrations from legacy environments.
• Design and implement streaming pipelines (e.g., using Kafka or similar technologies) for event‑driven or real‑time ingestion and transformation that support online inference, monitoring, and feedback loops.
• Select and integrate off‑the‑shelf, industry‑proven ETL / ELT technologies (e.g., workflow orchestrators, ingestion frameworks, transformation engines) and own their rollout and long‑term operation.
• Champion Data Lineage, Governance & DataOps
• Implement and maintain end‑to‑end data lineage from source systems to derived features and model artifacts, enabling reproducibility, compliance, and faster debugging.
• Establish DataOps practices: CI/CD for pipelines, observability (metrics, logs, traces), and operational runbooks for data incidents.
• Help define data quality and governance standards in partnership with Security, Compliance, and Customer Success, including support for privacy and regulatory needs (e.g., GDPR‑aligned flows and data residency discussions).
• Partner Across Monolith & CoreWeave
• Work with Monolith product and engineering teams (platform, agents, experiments, reliability) to expose data services that unlock new user workflows and AI capabilities.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage, compute, and observability for reliable data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when questions go deeper than their playbooks (e.g., architecture diagrams of data flow, lineage, and governance constraints).

Who You Are:

• Experience & Level
• Typically 8+ years of experience as a Data Engineer / Data Platform Engineer (or similar), including ownership of production data pipelines and architectural decisions.
• Demonstrated Staff‑level impact: leading critical data domains and cross‑team initiatives.
• Data Engineering & Architecture
• Deep experience designing end‑to‑end data architectures that cover ingestion, storage, transformation, serving, and observability.
• Strong, hands‑on experience with both batch and streaming pipelines:
• Batch: scheduled workloads, historical backfills, retraining pipelines.
• Streaming: Kafka or similar event streaming platforms plus real‑time transformation patterns for low‑latency consumption.
• Proficiency with SQL and at least one major analytical database or data warehouse (e.g., PostgreSQL or similar) including schema design and performance tuning
• Proficiency with Spark, Ray or similar distributed data processing frameworks.
• Solid understanding of data modeling (event logs, star schemas, feature tables) in multi‑tenant SaaS or platform contexts.
• Tooling & Ecosystem
• Hands‑on with data orchestration and ETL tooling (e.g., Airflow, dbt, Dagster, Temporal, or equivalents) and able to evaluate and recommend tools that fit our needs.
• Experience integrating and operating off‑the‑shelf data infrastructure (not just bespoke systems), including rollout, migration plans, and ongoing ownership.
• Familiarity with cloud infrastructure and containerization (Docker, Kubernetes, at least one major cloud provider) for deploying and scaling data workloads.
• Data Lineage, Quality & DataOps
• Extensive experience implementing data lineage solutions and using them for debugging, compliance, and auditability.
• Strong background in data quality: validation frameworks, monitoring, and guardrails that prevent bad data from reaching downstream consumers.
• Proficiency with DevOps / DataOps practices: infra‑as‑code, CI/CD for pipelines, runbooks, and participation in on‑call / incident response for data issues.
• Programming, Systems & Communication
• Strong programming skills in Python for building data services, transformations, and platform integrations, with an emphasis on maintainability and tests.
• Comfortable working in service‑oriented architectures, reasoning about data contracts, SLAs, and failure modes across services.
• Clear written and verbal communicator who can:
• Explain data architectures and trade‑offs to internal stakeholders, and
• Occasionally join client conversations as a deep domain expert to answer questions about data flows, security, and governance (e.g., with CIOs, heads of data, or security counterparts), while day‑to‑day client interaction is handled by forward‑deployed teams.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation, training, and inference workflows at scale.
• Background with time‑series, simulation, or experimental data (e.g., physical test benches, sensors, engineering simulations).
• Familiarity with feature stores, experiment tracking systems, or model registries and their integration with upstream pipelines.
• Experience designing data systems for regulated or safety‑critical domains, including privacy, residency, and retention considerations.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. If some of this describes you, we’d love to talk:

• Product‑minded – you design data platforms and pipelines that are intuitive to use and unlock real workflows for engineers and customers.
• Systems thinker – you enjoy mapping complex data flows, understanding failure modes, and building robust, observable systems.
• Pragmatic – you balance solid engineering with shipping value quickly, knowing when to invest in abstractions and when to deliver incremental improvements.
• Collaborative owner – you partner well across engineering, product, and customer‑facing teams, and you feel responsible for outcomes, not just code.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers “ship science, faster.” From evolving distributed architecture to enabling the next generation of agentic interfaces and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.

The Fullstack Engineer (Frontend Focus) will own and evolve the Monolith platform’s product surface — the data‑heavy, workflow‑centric web experience where engineers design experiments, compare runs, interact with agents, and turn complex physical test data into decisions. You’ll partner closely with Design, Product, and Backend Engineering to ship UI and UX that feel fast, intuitive, and trustworthy for non‑ML expert engineers, while also contributing to our Python backend services when needed.

About the Role:

We’re targeting an IC5 Fullstack Staff Engineer with a strong frontend background, and are also open to exceptional Senior Fullstack Engineer II (IC4) candidates who can operate at staff‑like scope. The role is heavily frontend‑weighted (roughly 80–90%), focused on owning the Monolith web application: component architecture, design system evolution, performance, and UX for complex, data‑rich workflows. You’ll also work across our Python services (FastAPI/Flask) to shape and integrate APIs, bring new platform capabilities to the UI, and occasionally deliver backend features that unlock better user experiences.

You’ll be a key partner in defining how engineers experience Monolith’s “AI test lab” — from agent chat to experiment exploration and monitoring — and will help set the bar for frontend quality, reliability, and developer experience across the team.

In this role, you will:

Frontend Ownership & Experience

• Own significant areas of the Monolith frontend, from architecture and component design to implementation, refactors, and ongoing maintenance.
• Design and build modern, responsive UIs using React and TypeScript, with a focus on complex, data‑heavy views (tables, charts, experiment timelines, dashboards, agents) that remain fast and understandable for users.
• Collaborate with Design to evolve our design system and component library, ensuring consistency, accessibility, and a high‑quality visual language across the product.
• Drive frontend performance improvements (bundle size, rendering strategies, network usage) to keep the app responsive even under large datasets and long‑running workflows.
• Champion accessibility and usability, ensuring the interface works well for time‑pressed engineers in demanding environments.

Fullstack Development & Platform Integration

• Work closely with backend engineers on our Python services to design clean API contracts, shape data models for UI needs, and debug issues across the stack.
• Implement and integrate backend functionality (primarily in Python) when it materially improves UX or unlocks new workflows, including occasional work on API endpoints, background tasks, and data transformations.
• Collaborate with our agent and platform teams to expose agentic capabilities (e.g. platform agent) safely and intuitively in the frontend experience.
• Contribute to fullstack observability — instrumenting both frontend and backend for metrics, logging, and tracing, and using that data to guide product and performance improvements.

Collaboration, Quality & Developer Experience

• Work hand‑in‑hand with Product and Design to scope projects, define success criteria, and break down ambiguous problems into iterative deliverables.
• Maintain a high bar for code quality through thoughtful design, code reviews, tests (unit, integration, and E2E), and documentation.
• Help improve our frontend developer experience — build tooling, workflows, and patterns that make it easier for the team to ship reliable UI quickly (Storybook/design‑system improvements, local dev ergonomics, CI checks, etc.).
• Mentor other engineers on frontend best practices, UX thinking, and effective fullstack collaboration.

Who You Are:

Experience & Level

• Typically 7+ years of professional software engineering experience, including substantial time building and maintaining complex, user‑facing web applications as a fullstack or frontend‑leaning engineer.
• A track record of operating at Senior/Staff scope: owning significant product surface area, driving cross‑team projects, and making architectural decisions that last.

Frontend Expertise

• Advanced proficiency in React and TypeScript, with experience structuring large‑scale frontends (modules, state management, routing, data‑fetching patterns).
• Strong command of web fundamentals
• Experience building data‑heavy and visualization‑centric UIs — e.g. dashboards, charts, time‑series visualizations, experiment or metrics explorers.
• Familiarity with design systems and component libraries (Storybook or similar), and an eye for when design details materially impact user trust and productivity.

Backend & Platform Skills

• Solid experience with Python in production environments (FastAPI, Flask, or Django), including building and integrating REST or GraphQL APIs that power frontend experiences.
• Comfortable working in service‑oriented or microservice architectures, reasoning about data flows, failure modes, and performance across boundaries.
• Experience with SQL databases (e.g. PostgreSQL) and practical data modelling for product features.
• Familiarity with modern cloud and container stacks (Docker, Kubernetes, and at least one major cloud provider).

Quality & Ways of Working

• Strong habits around testing (unit, integration, and E2E) and CI/CD for frontend and backend changes.
• Effective collaborator with Product, Design, and cross‑functional stakeholders; clear written and verbal communicator who can explain trade‑offs and constraints.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance shipping quickly with maintaining a reliable platform.

Preferred:

• Experience building UIs for technical or data‑savvy users (ML engineers, data scientists, physical test engineers, or similar), especially in B2B SaaS products.
• Familiarity with GraphQL and typed API clients in React (or strong REST plus a desire to pick up GraphQL quickly).
• Experience with SSR/SSG frameworks, particularly for performance‑sensitive dashboards.
• Prior work with time‑series and experiment tracking tooling, ML platforms, or analytics products.
• Exposure to ML/AI workflows (experiments, training runs, evaluations, agents) and interest in “tools for AI engineers” as a product domain.
• Experience with frontend observability (Sentry, Datadog, OpenTelemetry, etc.) and using telemetry to guide UX improvements.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Product‑minded craftsperson – you care as much about the user experience and clarity of a workflow as you do about the quality of the code behind it.
• Detail‑oriented on complex UX – you enjoy making intricate, data‑heavy interfaces feel simple and intuitive, and you’re willing to sweat the small interactions to get there.
• Pragmatic and velocity‑driven – you know when to build the perfect abstraction and when to ship a well‑engineered, incremental improvement that moves the product forward.
• Collaborative and empathetic – you build strong relationships with engineers, designers, and PMs, and you’re comfortable iterating based on feedback from customers and colleagues.
• Owner’s mindset – you feel responsible for the experience end‑to‑end, follow through on problems across the stack, and care deeply about the impact your work has on customers and the business.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Founding Engineer, Marketplace (London)

Department: Engineering

Reports to: Max (Head of Marketplace)

Location: London (Hybrid — The Church, 291 Hackney Road)

Type: Full-time | Equity + Salary

About Wonder Studios

Wonder Studios is an AI-native film and content studio redefining how stories are told. We partner with global brands, artists, and studios to create world-class campaigns, films, and experiences that merge cinematic craft with cutting-edge AI technology.

Backed by leading global investors, Wonder recently closed a $12M seed round to accelerate its next phase of growth — expanding our team and building the future of storytelling.

Our work spans entertainment, advertising, and original content (IP) — collaborating with partners such as YouTube, Google DeepMind, Universal Music Group, Campfire Studios and leading global artists.

Learn more at wonderstudios.com.

The Role

We're building the infrastructure that connects creators with fans, tech companies with talent, and filmmakers with the resources they need to make extraordinary work.

Wonder's Marketplace is the engine behind all of it — a platform that blends the discovery model of Apple TV with the creator economy of Patreon, built specifically for the AI creative industry. We're not just building a community. We're building the place where the next generation of filmmakers gets found, supported, and paid.

Right now our Marketplace has 2,000+ members, real enterprise clients, and Wonder TV — a curated streaming platform — live inside the app. We're at the inflection point between Circle-hosted MVP and fully custom platform, and we need a founding engineer to help us get there.

This is a 0-to-1 role. You'll work alongside Rick (Founding Engineer), Max (Head of Marketplace), and JD (Product & Ops) to own meaningful product surface areas from day one — not tickets in a backlog, but real decisions that shape how creators earn and how talent gets discovered.

What You'll Build

Wonder TV — Stage 2 and beyond

We're live on Circle (Stage 1). Stage 2 is a custom NextJS frontend reading from Circle's backend — a proper VOD experience with discovery, watch pages, and creator profiles. Stage 3 takes us off Circle entirely. You'll be instrumental in both.

Jobs Board

A talent marketplace connecting Wonder's creator community with brands, studios, and agencies looking for AI-native creative talent. A standalone product to design, build, and launch.

Creator Profiles & Roster

Public-facing profiles connected to Wonder MGMT — portfolio hosting, enquiry flows, social proof, and direct client booking. The infrastructure that makes Wonder a talent platform, not just a community.

Fan Film Finance

The long-term vision: fans co-financing films directly alongside the creators they follow — micro-contributions, tokenised film rights, or Patreon-style subscriptions tied to production milestones. Frontier territory. We want someone who finds it exciting.

Marketplace Infrastructure

Search, discovery, matching, payments, notifications, permissions, moderation — the fundamentals that make a marketplace work at scale.

The Stack

• Frontend: NextJS, React, Tailwind
• Backend: Node.js / TypeScript, REST + GraphQL
• Database: PostgreSQL (as we move off Circle)
• Infrastructure: Vercel, Cloudflare, Circle.so (for now)
• Auth: Auth0
• Payments: Stripe
• AI: Fluency with AI tooling is essential — you'll be building on top of it, not alongside it

What Success Looks Like

This role is about moving numbers that matter:

• 2k → 10k MAU — Every product decision you make either accelerates or slows this. You'll own the surfaces that drive it.
• $1M+ ARR from the Marketplace — Through Wonder TV subscriptions, Jobs Board fees, and Wonder MGMT commission. You'll build all three revenue streams.
• Wonder TV as the Patreon of the AI creative industry — Subscriptions, revenue sharing, direct fan contributions, and film financing. The engineer who builds this well isn't shipping features — they're defining a new category.
• Revenue per headcount — Wonder's North Star. Build infrastructure that makes the platform more self-sustaining and the team more productive.

Who We're Looking For

Background

• 5+ years of full-stack engineering experience
• Has built and shipped a marketplace, creator platform, or community platform — ideally as an early or founding engineer
• Comfortable owning a feature from database schema to UI
• Strong product opinions, not just engineering opinions — you care about what you're building and why
• AI-fluent: you use AI tools daily and are opinionated about where they help and where they don't
• London-based — we're in the Church (291 Hackney Road) and the energy matters

The Person

• Bias to action — ships fast, iterates, doesn't wait for perfect
• High ownership — treats the product like it's theirs
• Commercially curious — understands that great engineering serves a business outcome
• Collaborative — works well with product, design, and non-technical stakeholders
• Excited by the intersection of culture, creativity, and technology — this isn't a fintech gig

Nice to Have

• Experience with tokenisation, web3 infrastructure, or fan finance mechanisms
• Experience building video or streaming products
• Experience with Circle.so or similar community platforms
• Background in creative industries — media, music, entertainment, or gaming

Compensation

Competitive London market rate + meaningful founding engineer equity.

Why Join Wonder

You'll join a small, ambitious team at the frontier of storytelling and technology — working alongside world-class creators, technologists, and storytellers who are building what comes next.

The Marketplace you'll build will connect creators with fans, tech companies with world-class talent, and filmmakers with the tools and finance they need to make extraordinary work. It's Patreon meets Apple TV, built for the AI creative era — and you'll be the engineer who makes it real.

You'll have direct access to leadership, real ownership from day one, and a community of 2,000+ AI-native creators as your users.

At Wonder, we're shaping the future of entertainment. We'd love for you to help build it.

Cherry Ventures is supporting our portfolio with this hire

Founding Software Engineer Location: London/onsite

The Mission

We are building the Agentic Operating System for Consultants.

The $1 trillion consulting industry is powered by some of the world’s brightest minds, yet they remain trapped in manual, inefficient workflows - spreadsheet orchestration, slide-deck assembly, and fragmented data synthesis. We are moving the industry from "human-plus-tools" to autonomous agency.

Backed by a seed round from Cherry Ventures, Blue Lion, and the founders of QuantumBlack, our cap table includes angels from OpenAI, McKinsey, BCG, and Apple. We have the capital, the network, and the domain expertise - now seeking further engineering support to get there faster.

The Challenge

As one of our first engineers, you aren't just "writing code" - you are defining the technical DNA of the company. You will:

• Build Beyond the Chatbot: Design multi-step agentic workflows that move past simple RAG into reliable, enterprise-grade inference.
• Architect for Scale & Privacy: Build systems that can handle the rigorous data security requirements of Tier-1 financial and consulting firms.
• Own the Stack: Make foundational decisions on everything from our LLM orchestration layer to our deployment infrastructure.
• Interface with the Best: Work directly with technical & non-technical stakeholders across clients & advisory teams (OpenAI/McKinsey vets) to translate elite consulting tradecraft into code.

You Are a Fit If:

• You are a Product Engineer: You don’t need a 20-page PRD. You can take a vague user pain point from a design partner and ship a functional prototype by Friday.
• You have "Velocity as a Habit": You believe that in a seed-stage startup, speed is the only unfair advantage. You prefer shipping a 90% solution today over a perfect one next month.
• You are "T-Shaped": You are deeply technical in Python/Typescript and LLM frameworks (PydanticAI, LangGraph, etc.), but you also care about UI polish and user ergonomics.
• You have High Agency: When you hit a wall with an undocumented API or a hallucinating model, you find a way around it, over it, or through it.

Our Stack 

• Languages: Python, TypeScript
• AI/Data: Pydantic / LLM Frameworks, LiteLLM, ElasticSearch
• Infra: AWS, Terraform, PostgreSQL
• Frontend: React / Tailwind

Why Join Us?

• Real Ownership: Significant founding-level equity. You will own a meaningful piece of the company you are building.
• Elite Peer Group: Join a team that has lived this problem at the highest levels of global consulting and AI research.
• High Trust / Low Bureaucracy: We value clarity of thought and bias to action. No middle management, no pointless meetings - just building.

The Mission

We are building more than a calculation engine; we are building an integrated global financial ecosystem. As a Principal Engineer, you will own the end-to-end lifecycle of payroll data—from the moment an employee is onboarded in a third-party HRIS, through our deterministic bitemporal calculation engine, to the final generation of global payment files and statutory reporting.

You are an architect who writes code, a data engineer who understands state, and an integration expert who knows that a payroll system is only as good as the data flowing into it.

The Stack

• Core Engine & Data: Python (NetworkX, Pydantic, Decimal), PostgreSQL (Bitemporal modeling, dbt for analytics).
• Integrations & Pipelines: Node.js/TypeScript, Event-sourced architecture (Message Queues, Webhooks).
• The Ecosystem: Deep integrations with HRIS/HCMs (Workday, HiBob, BambooHR) and Ebury’s Payments architecture.
• AI-Augmentation: Claude Code for development and AI-driven data extraction.

What You’ll Own (The End-to-End Scope)

1. The Calculation Engine: Design the DAG-based resolver and bitemporal logic to handle complex, multi-jurisdictional payroll math with 100% accuracy.
2. Data Ingestion & Transformation: Architect the pipelines that ingest messy, unstructured data from fragmented HRIS sources and transform it into our deterministic PayrollRuleSchema.
3. Third-Party Integrations: Build robust, API-first connectors and "Outbox" pattern event systems to sync data across the global HR/Fintech stack.
4. The Payment & Reporting Rail: Own the generation of complex output artifacts—from ISO 20022 payment files to localized tax filings and GL (General Ledger) reports.
5. Bitemporal Data Strategy: Ensure the entire data lake supports "As-Of" reporting, allowing users to reconstruct the state of any payroll run at any point in history.

Your Pedigree

• The Full-Stack Backend Mindset: You are equally comfortable optimizing a recursive SQL query as you are designing a resilient webhook listener or a topological sort algorithm.
• Data Pipeline Veteran: You have experience with ETL/ELT patterns, data validation frameworks, and ensuring Exactly-Once processing in financial systems.
• Domain Expertise: You’ve built at Deel, Rippling, Papaya Global or similar Tech-first Global Payroll and Payments company, and you understand that "Integrations" aren't just about APIs—they’re about mapping conflicting data models across cultures.
• Architectural Leadership: You can bridge the gap between "Product needs this integration tomorrow" and "Our data model needs to remain pure for the next 5 years."

The "Hard" Requirements

• Deep Polyglot Backend Skills: Expertise in Python (for the engine) and Node.js/TypeScript (for the integration layers).
• PostgreSQL Mastery: You understand bitemporality, window functions, and how to manage schema evolution in a multi-tenant SaaS environment.
• Location: London (Preferred), Madrid, or Malaga (4 days/week in-office).

The Role

As a Senior Platform Engineer at Gigs, you'll work at the foundation of everything we build. You'll design, build, and operate the infrastructure and developer tooling that powers our connectivity and payments platform — enabling product teams to ship faster, more reliably, and at scale.

Our Foundation team owns the systems that every engineer at Gigs depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tooling, and the shared platform services that keep our product running. You'll take ownership of complex infrastructure challenges end-to-end and drive them to production with a high bar for reliability and developer experience.

This is a role for someone who cares deeply about the craft of platform engineering — who gets energy from making other engineers more productive, who thinks in systems, and who isn't satisfied until the solution is both robust and elegant. You'll be joining a small, high-impact team where your work will directly shape how Gigs scales over the next few years.

What You Will Do

• Own and improve Gigs' cloud infrastructure, ensuring our platform is reliable, scalable, and cost-efficient as we grow.
• Design and build internal developer tooling and platform services that accelerate how product teams ship — from CI/CD pipelines to deployment workflows to local development environments.
• Drive improvements to our observability stack, making it easy for every engineer to understand system behavior, debug issues, and respond to incidents with confidence.
• Take complex infrastructure problems end-to-end: scoping, designing, implementing, and operating solutions in production.
• Collaborate closely with product engineering teams to understand their pain points and build platform capabilities that unblock them.
• Contribute to our infrastructure-as-code practices, ensuring our cloud environments are reproducible, auditable, and version-controlled.
• Participate in on-call rotations, incident response, and post-mortems — and use what you learn to make our systems more resilient.
• Raise the bar for platform engineering quality through code reviews, documentation, and advocating for best practices across the team.

What We Are Looking For

• You have 5+ years of professional software engineering experience, with meaningful time spent on infrastructure, platform, or DevOps/SRE work in a production environment.
• You have experience designing and building a platform layers e.g. centralised authentication, observability, routing logic, or API versioning which other product teams integrate against or build on top of.
• You have hands-on experience with cloud platforms (GCP preferred) and infrastructure-as-code tools like Terraform. You understand networking, compute, and storage at a level that lets you make good trade-offs.
• You have experience building and maintaining CI/CD pipelines and deployment systems. You care about developer experience and know that a great platform is one that engineers actually want to use.
• You think in systems. You can reason about distributed architectures, understand failure modes, and design for reliability and observability from the start.
• You enjoy building products from the infrastructure up. You care about finding the right solution to internal customer needs, and you're comfortable taking ownership and delivering.
• You communicate clearly and collaborate well. You can explain infrastructure decisions to product engineers, write useful documentation, and contribute to technical discussions with confidence.
• You care about more than just engineering — you want to see the business impact of everything you do, and you know how to make pragmatic speed/quality trade-offs.
• You have a growth mindset when it comes to tooling and practices. You stay curious about how the industry is evolving — including AI-assisted development — and you're thoughtful about adopting what makes you and your team more effective.

Bonus Points If

• You have experience with our stack: GCP (cloud run), Docker, Terraform, Ruby on Rails, Go, PostgreSQL, Kafka, PubSub.
• You have worked in fintech, payments, telecom, or other regulated industries where reliability and compliance matter.
• You have experience building developer-facing platforms or internal tooling at a high-growth startup (Series B–D).
• You have contributed to open-source infrastructure tooling or have a track record of improving developer productivity at scale.
• You use AI tooling as part of your engineering workflow and have developed a practical sense for where it adds value and where it doesn't — for example, using it for infrastructure scaffolding, debugging, exploring unfamiliar APIs, or drafting documentation, while knowing when to rely on your own judgment.

THE ROLE

Sotheby's is the world's premier destination for art and luxury. The engineering that powers it today reflects that same ambition, built on modern technologies and modern practices.

Auctions are the most visible part of what we do, but every sale that runs through Sotheby's is backed by the entire engineering organisation. The work starts months before a lot crosses the block, from the systems that support how we acquire and value inventory, through to the platforms our clients and specialists interact with daily, the identity and compliance infrastructure that keeps it all trustworthy, and the services that make the live event itself possible.

That breadth is what makes the engineering here different. Whether you're working on internal tooling, client-facing products, platform infrastructure, or the real-time systems behind a sale moving hundreds of millions of dollars, your work connects to something tangible.

We're looking for senior engineers who want real ownership of the systems they build, who care about quality and craft, and who are curious enough to learn a domain that will surprise them.

Our engineering teams are remote-first and globally distributed. It's how we're built, and it's how we intend to stay.

We're not async-only. There are regular calls, cross-team meetings, and plenty of direct collaboration alongside the written communication you'd expect from a distributed organisation. The balance works because the people here are good at both.

This role is London or remote within the UK.

IDEAL EXPERIENCE & COMPETENCIES

• You've shipped production systems. 5+ years of experience, with real ownership of services or products that other people depend on. You've dealt with incidents, made trade-offs under pressure, and learned from what went wrong.
• You solve problems for the business, not just yourself. You're pragmatic. You look for the best course of action given the constraints, not the most technically interesting one. You can weigh options, make a call, and move forward together with the people around you.
• You communicate clearly. Whether that's justifying a technical decision on a call, writing up a proposal, or talking through an approach in a review. You can discuss specifics without getting lost in the detail, and you're comfortable working across teams to get things done.
• You're comfortable wearing many hats. The day to day here can vary a lot. You're the kind of engineer who sees that as a feature, not a bug.
• You take craft seriously and use modern tools to amplify it. You write code that others can maintain and build on. You're happy using AI and modern tooling to move faster, but you understand the systems deeply enough to know when the tool is wrong.
• Technical Experience: We don't expect you to know the full stack coming in. We do expect strength in at least one of Go, React/TypeScript, or Scala, comfort with distributed systems thinking, and readiness to pick up whatever the work requires.
  • Required:
    • Strong experience with (at least one; more is a plus)
    • Experience designing, deploying, and operating distributed systems and microservices
    • Solid relational database knowledge (PostgreSQL preferred)
    • Familiarity with cloud infrastructure (we use AWS) and containerisation
    • Located in the United Kingdom (London in-person, or remote UK)
  • Useful:
    • Event-driven architectures and streaming platforms
    • API design across GraphQL, gRPC, or REST
    • Authentication, authorisation, or compliance-related systems
    • E-commerce, marketplace, or auction domain experience

WHAT WE OFFER

• Competitive salary with discretionary bonus
• Private health insurance
• Health cash plan and dental insurance
• Workplace nursery benefit
• Generous holiday allowance, Christmas shutdown, summer Fridays, and volunteer and wellbeing days
• Great hardware
• Cycle to work scheme and eye care vouchers
• Regular social events, meetups, and use of our London space (the summer and Christmas parties are worth showing up for)

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the role

Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms.

Nice to have

• Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases).
• Experience with routing engines like OSRM.
• Proficiency in C++.
• Familiarity with open geospatial datasets such as OpenStreetMap.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

Nice to have

• Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases).
• Experience with routing engines like OSRM.
• Proficiency in C++.
• Familiarity with open geospatial datasets such as OpenStreetMap.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

ABOUT THE ROLE:

As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial.

RESPONSIBILITIES:

• Build the xAI API that serves our models to developers worldwide
• Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling

BASIC QUALIFICATIONS:

• Expert knowledge of either Rust or C++
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems
• Knowledge of service observability and reliability best practices
• Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB

PREFERRED SKILLS AND EXPERIENCE:

• Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM)
• Experience designing or building with agent SDKs and agent orchestration frameworks
• Experience with Docker, Kubernetes, and containerized applications
• Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping)

ABOUT THE ROLE:

In this role you will work on xAI's production systems that power the API. The actual team matching will happen at the offer stage.

As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. You strive for perfection and listen carefully to your users in order to solve any pain points they might experience. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial.

BASIC QUALIFICATIONS:

• Expert knowledge of either Rust or C++,
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems,
• Knowledge of service observability and reliability best practices,
• Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB.

PREFERRED SKILLS AND EXPERIENCE

• Knowledge of Python,
• Experience with Docker, Kubernetes, and containerized applications,
• Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping),
• Hands-on experience with LLM APIs, embeddings, or RAG patterns,
• Track record of delivering user-facing software at scale.

Our Technology

We leverage the latest tools and technologies to create a seamless, customer-centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front-end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources.

Our architecture is cloud-native, event-driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST.

We are driven by data science, machine learning, and analytics, using multi-variant testing to personalise user experiences across every digital channel.

However, it's not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting—allowing us to focus on delivering value to our customers.

Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem-solving mindset—we'll navigate obstacles together.

Technology:

• Platforms: Kubernetes (EKS) with Istio Service Mesh
• Security & Monitoring: Datadog CSM, Cloudflare WAF, CrowdStrike, BitDefender, Okta, Hashicorp Vault
• Databases: PostgreSQL (Aurora)
• IaC: Terraform via Atlantis
• CI/CD: Github, Flux, Helm

What you'll be doing:

• Working within the Platform team hardening AWS and Kubernetes perimeters.
• Running vulnerability management across our AWS and Kubernetes estate, and setting the SLAs and processes that keep us on top of it.
• Building and tuning security detections, and writing the runbooks that make security alerts actionable on-call.
• Coordinating external penetration tests and driving remediation of findings to closure.
• Owning identity and secrets across Okta, Vault, and AWS IAM, including SSO/SCIM rollouts and access reviews.
• Owning our InfoSec/PCI DSS programme end-to-end — quarterly reviews, significant change documentation, audit prep, and working directly with our QSA and other partners.

We'd love to hear from you if you have the following:

• Strong AWS security skills (IAM, SCPs, VPC, EKS, ECR, GuardDuty, KMS) and comfort writing and reviewing Terraform yourself.
• Practical experience with at least three of: Datadog (ideally CSM), Cloudflare WAF, Hashicorp Vault, Okta, Kubernetes security, CrowdStrike or equivalent EDR.
• A track record of coordinating external penetration tests — scoping, enablement, and remediation follow-through.
• A bias for automating compliance toil, particularly evidence-gathering for recurring reviews and audits.
• The ability to write runbooks an on-call engineer can actually follow at 03:00.
• Hands-on experience with PCI DSS v4.0 controls in a payments or financial services environment is a plus
• Are comfortable working in a fast-paced, evolving start-up environment.
• Can work independently, tackling ambiguous challenges and driving solutions forward.

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. 

Responsibilities

• Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring
• Architect M- and L- sized features
• Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals
• Participate in the analysis, design and evaluation of technical requirements together with the team
• Write clean, scalable, and efficient code mainly in Go language
• Review and give feedback on code written by peers to ensure consistency, readability, and efficiency
• Write and maintain technical documentation, including software design documents and user guides

Requirements

• 5+ years of experience developing scalable and reliable backend services
• Proficiency with Go/Ruby/Python/C++/Java/Kotlin languages
• In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc.
• Upper-Intermediate or higher English proficiency

Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £130,000 – £160,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. 

Responsibilities

• Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring
• Architect M- and L- sized features
• Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals
• Participate in the analysis, design and evaluation of technical requirements together with the team
• Write clean, scalable, and efficient code mainly in Go language
• Review and give feedback on code written by peers to ensure consistency, readability, and efficiency
• Write and maintain technical documentation, including software design documents and user guides

Requirements

• 5+ years of experience developing scalable and reliable backend services
• Proficiency with Go/Ruby/Python/C++/Java/Kotlin languages
• In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc.
• Upper-Intermediate or higher English proficiency

Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

The things you care about

At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.

The primary technologies we use are Python, PHP, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.

 As a Senior Python Software Engineer at Partnerize, you will:

• Be responsible for developing systems that process data at near real time for thousands of events per second, operating with data sets in the region of tens of billions of rows.
• Contribute towards mission critical systems for the business, helping us to scale our platform to meet the demands of our clients.
• Work closely with the lead architect to build services that are scalable, fault tolerant, and resilient.
• Write clean, well-tested and refactored code while keeping in mind maintainability and scalability of the system.

You are a seasoned Python software engineer with:

• Have a minimum of 5-7 years of robust professional software development experience, prominently utilising Python as the primary language, within a commercial setting.
• Demonstrate mastery of Python programming, encompassing an extensive understanding of Python libraries and frameworks, coupled with a track record of building distributed systems with a strong emphasis on high concurrency.

• Experience developing against large volumes of data and implementing systems that are fault tolerant, distributed, and horizontally scalable.
• Excellent written and verbal communication skills, for collaborating with team members and authoring technical documentation.

We hope you have:

• Hands-on experience with technologies like Kafka, MySQL, Postgres. 
• Experience with processing financial data.
• Experience in reverse engineering and problem solving skills, specifically the ability to understand existing systems written in PHP to reimplement.
• An understanding of operational principles, specifically Linux based systems.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Job Summary:

This is a captivating and exciting time to join Partnerize. We are at a pivotal point in our tech progression, looking to significantly expand our technical estate, scale the platform, and replace existing legacy systems with modern solutions. You will play a vital role in the ongoing operationalisation and management of our entire platform portfolio found in our on-prem datacentres and AWS cloud: Partnerize, BrandVerity, Ascend, and our recent acquisition, Konnecto. While there will be a key focus on integrating and supporting Konnecto's advanced data and AI layers, a critical pillar of your mission will be spearheading the development of our enterprise on-prem containerisation solution. This initiative is designed to fundamentally shift our engineering culture towards a "you build it, you own it" model. By providing robust, automated container platforms, you will empower our Engineering teams to deploy quickly and independently, significantly reducing the bottleneck created by relying solely on the TechOps department.

We are looking for a Lead SRE who is both a deep technical expert and a capable mentor. In this role, your primary responsibility is ensuring our diverse, hybrid systems remain available, scalable, and secure. You will act as an authoritative Subject Matter Expert (SME), championing developer autonomy, driving IT systems security policies, and working closely with the security compliance team to protect our platforms from threats while driving continuous integration and delivery.This role will report into the SRE and Application Manager providing them with technical guidance and recommendations whilst being the technical lead for the SRE team.

The Team

You will be responsible for ensuring the continuous development and progression of team members. We are looking for a player/coach who can mentor, empower, and up-skill talent. We have a mix of technical generalists, specialists, and junior engineers; you will help identify their strengths and constructively develop areas of weakness, guiding their technological career paths as we transition to a DevOps-centric operating model.

The Operational Reality

You will operate in a fast-paced, high-velocity environment where your work directly and visibly shapes the company's architectural future. This requires a highly adaptable and pragmatic leader who can balance strategic project delivery with hybrid-estate maintenance. By applying modern incident management frameworks to troubleshooting and ticket management, you are responsible for ensuring all issues across our estate are addressed decisively and efficiently.

As a Lead SRE, You Will:

Strategic & Operational Management

• Developer Empowerment&Containerisation
• Collaborate on the design, build, and rollout of a robust containerisation strategy (Kubernetes/Docker). Your goal is to assist in delivering a platform that enables Engineering teams to take full ownership of their code from build to deployment.
• Reliability & Error Budgets
• Define Service Level Indicators (SLIs), set Service Level Objectives (SLOs), and manage Error Budgets to expertly balance feature velocity with platform stability.
• Hybrid Platform Engineering & Konnecto
• Build software and systems to manage platform infrastructure across on-prem and AWS. Take the lead technical role in integrating and modernising Konnecto's architecture, ensuring its data ingestion and AI logic layers scale securely.
• FinOps / Cloud Cost Optimisation
• Manage, monitor, and optimise cloud infrastructure spend across our hybrid environments, ensuring architectural decisions are both highly performant and cost-effective.
• CI/CD Pipeline Responsibility
• Responsible for the continuous improvement, continuous delivery, and continuous integration pipelines to facilitate rapid engineering velocity.

People Leadership & Talent Development

• Mentorship
• Deliver coaching sessions to the team and individuals, acting as a technical escalation point and fostering a culture of knowledge sharing.
• Workload Management
• Scope the work coming into the SRE team, prioritise hybrid-estate maintenance vs. project delivery, and delegate tasks to team members to ensure prompt resolution.

Security & Architecture

• Design&Threat Modelling
• Produce production-grade application security designs. Perform design reviews and threat modelling of our services and products.
• Security Strategy
• Drive improvements to Partnerize platforms' security through strategic planning, vulnerability assessments, and security testing.

Incident Management&Toil Reduction

Toil Reduction Champion toil reduction through automation, continually identifying manual, repetitive operational work and engineering it out of existence.

Post-Mortems & Escalation

Act as the ultimate escalation point for complex support incidents, participate in the On-Call rotation, lead blameless post-mortems, conduct Root Cause Analysis (RCA), and aggressively track metrics like Mean Time To Recovery (MTTR).

General Duties

• Consulting&Planning
• Participate in system design consulting, platform management, and capacity planning.
• Escalation Support
• Act as the ultimate escalation point for complex support incidents and assignments while maintaining a high level of quality.
• On-Call
• Participate in the On-Call Rotation.

Essential Knowledge, Skills and Experience

Core Competencies

• Technical Ability
• Highly proficient SME capable of reliably applying technical methods, leading cultural technical shifts (e.g., DevOps adoption), and supporting the development of new skills in colleagues.
• Problem Solving&Decision Making
• Capable of making decisions quickly and decisively, weighing options, and approaching problems methodically and innovatively.
• Communication&Influence
• Effectively communicates initiatives to all stakeholders and is capable of procuring buy-in for key transformational projects (like containerisation rollouts).

Technical Competencies

• Cloud, Hybrid & Containerisation
• Essential knowledge of hybrid architectures, managing both AWS and on-premise environments. Extensive hands-on experience designing and managing advanced containerisation environments using Docker, Kubernetes, and Argo Workflows to enable developer self-service.
• Konnecto Tech Stack & Data Pipelines
• Proven experience managing modern storage layers and databases, specifically MongoDB and Snowflake. Experience supporting complex data ingestion layers, including clickdata streams, S3 raw/parsed ingestion, and Airflow ETL.
• Programming & Automation
• Experience in automation languages (Python orBash).
• Deep understanding of GitHub and experience implementing or working alongside AI coding tools and practices.
• Knowledge of Infrastructure as Code (Terraform, Ansible).
• Security&Observability
• Experience with security in a DevOps environment. Experience managing observability stacks (e.g., Prometheus, Grafana, and Loki).
• Operations&Troubleshooting
• Exceptional Linux system administration skills. Highly proficient in troubleshooting, diagnosing, and independently solving issues using modern incident management frameworks.

Desirable Knowledge, Skills and Experience

The following skills or experiences are advantageous but not strictly required

• Innovation&Debt Management
• A keen interest in new technologies, specifically supporting development teams in the refactoring of technical debt.
• Legacy Databases
• Strong experience with relational databases (MySQL, PostgreSQL, Redis).
• Data Streaming
• Experience with data streaming and queuing technologies, specifically Apache Kafka and Druid.
• Web&Storage
• Knowledge of Nginx (or other web server technologies) and storage technologies like Gluster.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

We are at a pivotal point in our tech progression at Partnerize, looking to scale, modernise, and future-proof our platform. At the heart of this evolution is our data layer.

We are looking for a Principal Database Reliability Engineer (DBRE) to take extreme ownership of our critical database infrastructure. Working within our Technical Operations team, you will act as the definitive Subject Matter Expert for our highly available MySQL and PostgreSQL estates, operating with a high degree of autonomy to design, build, and optimise our data tier.

This is a high-impact role where you will predominantly lead the database strategy, bridging the gap between traditional database administration and modern Site Reliability Engineering (SRE). You will architect resilient data systems, automate toil through Infrastructure as Code, manage our event-streaming platforms (Kafka), and empower our wider engineering teams with database best practices. If you are excited by the challenge of owning a complex data estate and defining its future state, this is the role for you.

As a Principal DBRE at Partnerize, You Will:

• Own the Data Estate: Serve as the primary architect and technical lead for our highly available, distributed MySQL and PostgreSQL environments.

• Automate Everything: Transition manual database management into code. Build, maintain, and optimize deployment pipelines for infrastructure using Terraform, Ansible, and Python.

• Architect for Scale: Lead capacity planning, disaster recovery design, and high-availability architecture for both bare-metal and containerized data systems.

• Manage Event Streaming: Oversee and scale our data streaming and queuing technologies (Kafka, RabbitMQ) to support event-driven microservices.

• Drive Performance: Proactively monitor, troubleshoot, and optimize database performance, advising development teams on query tuning, schema design, and technical debt refactoring.

• Empower the Team: Mentor wider TechOps and Engineering teams on data infrastructure best practices, creating cohesive documentation and building guardrails so the broader team can safely support the data tier.

• Lead Incident Response: Act as the ultimate escalation point for complex database incidents, leading Root Cause Analysis (RCAs) and implementing permanent fixes.

• Participate in On-Call: Share in the rotational on-call duties, with a specific focus on ensuring the database tier remains robust and self-healing to minimize after-hours alerts.

Essential Knowledge, Skills and Experience

• 8+ years of experience in Senior DBA, DBRE, or deeply data-focused SRE roles managing large-scale, production systems.

• Expert-level relational database knowledge: Deep, hands-on experience designing, scaling, and maintaining HA environments in MySQL and PostgreSQL, including replication, clustering, and backup/restore strategies.

• Infrastructure as Code & Automation: Strong proficiency in Python or Bash scripting, combined with configuration management and IaC tools (Ansible, Terraform, Helm).

• Modern Infrastructure: Solid understanding of deploying and managing services within containerised environments (Kubernetes, Docker) and navigating modern event-driven architectures (Apache Kafka).

• Linux Mastery: Advanced experience configuring, tuning, and monitoring Linux systems in physical data centres and cloud environments.

• Observability: Experience building out robust monitoring and alerting for data systems to proactively catch bottlenecks.

• Leadership & Autonomy: Proven ability to operate independently, prioritise workloads, and lead major technical projects from design to production.

Desirable Knowledge, Skills and Experience

• Experience migrating bare-metal database infrastructure into private or public cloud environments.

• Experience with specific monitoring systems like Prometheus, Zabbix, or Datadog.

• Familiarity with in-memory data stores (Redis) and analytic databases (Druid).

• Experience with Elasticsearch/Kibana for logging and search.

• Knowledge of HAProxy, Nginx, or Gluster storage technologies.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality
• Enhanced pension contributions
• Cycle to Work scheme
• Eye Care Vouchers
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our London office or full remote from any part of the UK.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

Available Locations: London, UK

DCSC Access Automation Internship Program

We are seeking a motivated and detail-oriented DCSC Intern to join our team and support the integration of Security Compliance practices into our DCSC DevOps workflows. This internship offers hands-on experience with DCSC, cloud infrastructure, and application security, providing a unique opportunity to learn and contribute to real-world projects in a fast-paced environment.

What You’ll Learn:

• Complex modeling in Data Center Security Compliance Access Administration and periodic access reviews. 
• Contribute testing AI tools and practices in Access management.
• Gain knowledge in DCSC process development used for Identity Management and access administration.
• Real-world implementation of DCSC principles in a real production environment
• General introduction into the information security world

Key Tasks & Responsibilities

• Contribute in building automation tools into DCSC pipelines
• Assist in identifying, analyzing, and documenting business processes for automation opportunities
• Participate in discovery projects to evaluate current workflows and recommend areas for improvement
• Support the design, development, and deployment of automated solutions using tools such as RPA (Robotic Process Automation), workflow platforms, and scripting languages
• Implement low-code solutions (e.g., Microsoft Power Automate, AppSheet, Mendix, etc.) where appropriate to streamline business processes
• Collaborate with cross-functional teams to gather requirements and test automation solutions
• Monitor automated processes for performance, troubleshoot issues, and suggest improvements
• Prepare process documentation, user guides, and training materials for end-users

Qualifications & Experience

• Pursuing a Bachelor’s or Master’s degree in Cybersecurity, CS, IS, IT, or other related fields of studyExpected/achieved minimum 2:1 classification in a Computer Science, Cybersecurity, Engineering or related degree discipline.
• Data Visualization and Dashboarding: Expertise in tools such as Power BI, Tableau, R Shiny, or Google Data Studio to develop interactive data dashboards.
• Data Engineering and ETL: Competence in SQL, Python, or R for data manipulation, retrieval, cleansing, and structuring from various sources (e.g., databases, APIs, Excel, GRC platforms).
• Database Fundamentals: A solid grasp of SQL databases (e.g., MySQL, PostgreSQL) for effective data storage and retrieval.
• Automation: The ability to implement automation solutions, aiming to reduce manual effort by 30-40%, particularly for automating reporting and generating real-time alerts for compliance breaches.
• AI/ML Application: Knowledge of leveraging AI and Machine Learning techniques for proactive risk management, including anomaly detection, risk scoring, and predictive analysis.

The Role

Join our dynamic Core Technology team as a Software Developer, where you'll play a crucial role in building and enhancing the software that drives both our Asset Management and Securities businesses. You’ll work closely with Operations, Treasury, Risk, Compliance, Finance, and Client Services—embedded alongside these teams to deeply understand their challenges and anticipate their needs.

You’ll also collaborate with trading teams to ensure new strategies and markets are fully supported. Our mission is to deliver innovative, high-impact technology solutions that streamline processes, enhance decision making, and drive efficiency across the business. We also own the firm’s AI roadmap, integrating frontier models and capabilities where they deliver real value.

This is a hands-on, full-stack role working with Java and Python, where you'll design and develop cutting edge solutions while also empowering analysts to elevate their data science and development capabilities. You’ll collaborate with a supportive team while taking ownership of projects—from initial scoping and architecture to development and deployment—solving complex problems and driving meaningful change. If you're passionate about technology, thrive in a fast-paced, collaborative environment, and want to build software that makes a real difference, we'd love to hear from you!

Requirements:

• Strong software development skills with expertise in Java, capable of writing high-quality, well structured, well-tested code.
• A keen interest in financial markets and the trading lifecycle, with a proactive approach to learning new concepts.
• Excellent communication skills (both written and verbal), with the ability to collaborate effectively across technical and non-technical teams.

Preferred:

• Experience with Python, C#
• Hands-on experience working with relational databases, including schema design, query optimization, and performance tuning.
• Familiarity with data science principles and methodologies, with experience applying them in real-world scenarios.
• Experience with our core stack, including Hibernate, PostgreSQL, Maven, Guice, NumPy, and Pandas.
• Exposure to financial markets, either through formal education or professional experience

Please note that these positions are based in London, Berlin, or Paris — relocation support is provided if required.

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe — we operate in 18 countries, serving +10 million customers who trust us with over €150B in assets. But we're striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

ABOUT PLATFORM ENGINEERING

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our mission is to build scalable platforms for a Europe-scale bank — serving internal engineers, and building in-house control planes for managing the bank's infrastructure. We’re a ~50-person Platform team focused on one thing: enabling product engineers to move fast and operate autonomously by default.

We build self-service platforms, golden paths, and opinionated tooling so that over 300 engineers can ship with confidence. From Kubernetes fleet management and CI/CD to an internal Developer Hub built on Backstage, our work underpins every trade, savings plan, and card payment that flows through the platform.

WHAT YOU'LL BE DOING

Our database platform is foundational to how Trade Republic works — every trade, savings plan, and card payment touches it. As Database Platform Tech Lead, you will set the direction, own the outcomes, and guide the team building the platform layer that makes database operations self-service, automated, and reliable at scale.

• Set the database reliability standard: Architect the failover mechanisms, replication topology, and recovery strategies that meet our availability targets — and own the engineering roadmap that closes the gap between where we are and the number of 9s the business requires.
• Drive toward zero-touch operations: Define what fully automated database operations look like — provisioning and scaling to zero-downtime migrations — and lead the platform work that gets us there.
• Own the database technology strategy: Define which database technology fits which problem — set the criteria for adoption, govern the portfolio, and ensure every database choice is intentional and operated with the same level of rigour.
• Define the database contract with product teams: Set the standards for how product engineers interact with databases — schema governance, migration patterns, connection pooling, query performance — and build the tooling that makes it effortless to get right.
• Own the platform end to end: Set the operational bar — define on-call practices and incident response standards for database failures, and hold the team to them.
• Own the direction and drive it forward: Define the long-term database platform strategy, drive cross-team initiatives from kickoff to delivery, and align database infrastructure decisions with broader engineering, compliance, and cost goals.

WHAT WE'RE LOOKING FOR

• 5+ years of experience in database engineering, platform engineering, or a related systems discipline, with a track record of technical leadership.
• Deep, hands-on PostgreSQL expertise: strong opinions on replication, sharding, backup strategies, upgrades, and security. Hands-on experience with Postgres automation and lifecycle tooling is required.
• Familiarity with ClickHouse and Cassandra/Scylla in production environments.
• Solid backend engineering background — Go is preferred but any strong language is welcome; familiarity with Kotlin/JVM is a plus as you'll work directly with product teams who rely on it.
• A track record of turning database best practices into opinionated standards that engineering teams actually adopt.
• Cloud-native in your DNA: hands-on with Kubernetes and IaC tooling, running production workloads on AWS or equivalent.
• Proven ability to define technical strategy, drive cross-team initiatives end-to-end, and hold yourself and others accountable to outcomes.
• Ability to contribute to architectural decisions and clearly communicate trade-offs to both engineers and leadership.
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable — we're here to win and fix one of the largest challenges Europeans face — closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Please note that these positions are based in London, Berlin or Paris — relocation support is provided if required.

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe — we operate in 18 countries, serving +10 million customers who trust us with over €150B in assets. But we're striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

ABOUT PLATFORM ENGINEERING

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our mission is to build scalable platforms for a Europe-scale bank — serving internal engineers, and building in-house control planes for managing the bank's infrastructure. We’re a ~50-person Platform team focused on one thing: enabling product engineers to move fast and operate autonomously by default.

We build self-service platforms, golden paths, and opinionated tooling so that over 400 engineers can ship with confidence. From Kubernetes fleet management and CI/CD to an internal Developer Hub built on Backstage, our work underpins every trade, savings plan, and card payment that flows through the platform.

WHAT YOU'LL BE DOING

Our database platform is foundational to how Trade Republic works — every trade, savings plan, and card payment touches it. Today, much of our database operations are handled manually or through basic automation. You will change that: building the platform layer that makes PostgreSQL operations self-service, automated, and reliable by default.

• Run PostgreSQL at scale: Own the reliability and uptime of our PostgreSQL clusters — design for high availability, engineer for resilience, and ensure near-zero downtime across maintenance, upgrades, and failure scenarios.
• Build the database platform: Automate the full operational lifecycle — provisioning, configuration, upgrades, scaling, and backup — turning manual database operations into self-service workflows that run without human intervention.
• Make best practices the default: Define database standards — schema design, connection management, query patterns, reliability — and embed them into the platform so the right thing is always the easiest thing.
• Own the platform end to end: Participate in the on-call rotation, ensuring full ownership of the systems you build and operate.
• Own the direction: Shape the roadmap, drive cross-team initiatives, and align the database platform with broader engineering and business goals.

WHAT WE'RE LOOKING FOR

• 4+ years of experience in database engineering, platform engineering, or a related systems discipline.
• We are hiring from senior to staff level — whether you are a strong Postgres engineer ready to take on platform ownership, or you have already been leading database platform strategy across large engineering organisations, we'd love to hear from you.
• Deep, hands-on PostgreSQL expertise: strong opinions on replication, sharding, backup strategies, upgrades, and security. Hands-on experience with Postgres automation and lifecycle tooling is required.
• Solid backend engineering background — Go is preferred but any strong language is welcome; familiarity with Kotlin/JVM is a plus as you'll work directly with product teams who rely on it.
• A track record of turning database best practices into opinionated standards that engineering teams actually adopt.
• Cloud-native in your DNA: hands-on with Kubernetes and IaC tooling, running production workloads on AWS or equivalent.
• Ability to drive cross-team initiatives and clearly communicate architectural trade-offs to both engineers and leadership.
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.
  
  
  

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable — we're here to win and fix one of the largest challenges Europeans face — closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Job Summary: 

At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.

The primary technologies we use are PHP, Python, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.

As a Front-End Engineer at Partnerize, you will:

• Drive Outcomes: Take high-level ownership of features from discovery to delivery, autonomously driving outcomes to achieve impactful business results.
• Build & Scale: Develop and maintain high-quality React applications that are modular, performant, and easy to maintain.
• AI Integration: Collaborate on the frontend implementation of Agentic AI systems, creating intuitive interfaces that allow users to interact with and oversee autonomous agents.
• Collaborate: Work within a cross-functional "Tribe" alongside Product Managers, Designers, and Backend Engineers in a highly autonomous and collaborative environment.
• Champion Quality: Write clean, well-tested code, we expect robust testing (Unit/Integration/E2E) to be a core part of your development process.
• Master the Domain: Gain a deep understanding of the complex business logic behind global performance marketing.

You are a software engineer with:

• React Expertise: Deep professional experience building complex web applications using React and the modern JavaScript/TypeScript ecosystem.
• Testing Mindset: A strong commitment to shipping well-tested code using modern tools (e.g. Jest, React Testing Library, Playwright, or Cypress).
• State Management: Fluency in managing complex application state (e.g., Redux Toolkit and React Context).
• API Integration: Extensive experience consuming and assisting designing contracts for RESTful and GraphQL APIs in an API-first environment.
• Self-Starter Attitude: The ability to communicate in a concise way, listen to others, and drive projects forward with minimal supervision.

We hope you have:

• Agentic AI Exposure: Experience or a strong interest in building UIs for Agentic AI systems (e.g., integrating with LLM-based agents, LangChain, or autonomous workflow tools).
• TypeScript Mastery: A preference for type-safe development in large-scale codebases.
• Docker Knowledge: Experience with container technologies to support a seamless local development workflow.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Your Impact

The Staff Software Engineer (Platform) leads large-scale projects and is a key contributor to their group's success. They are involved in long-term strategic planning, mentor senior engineers, and are influential in technical decision-making across multiple teams or a department. They focus on implementation and system design, as well as maintaining and evolving DISCO’s distributed data platform.

What You'll Do 

• Technical Leadership and Mentorship: Provides technical leadership in project teams, guiding engineers, and contributing to technical decision-making. Sets technical direction for large projects or teams, driving innovation, and solving organization-wide problems.
• Performance Optimization: Focuses on designing systems for high performance, scalability, and reliability.
• Ownership: Proactively identifies areas of products and systems that currently have problems or will develop problems as well as makes plans to address those problems.
• Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
• Software Development: Designs, develops, and maintains sophisticated, scalable, high-performance data software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence for our big data platform at petabyte scale. Responsible for the boundary identification, system design and grooming for one or more sub-systems.
• Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices.
• Technical Problem Solving: Addresses intricate technical issues through innovative problem-solving strategies.
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineers, product managers, and stakeholders, contributing to project planning and execution.
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team.
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information.
• Data Platform Development: Builds and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence.
• Data Integration and ETL: Develops and optimizes ETL (Extract, Transform, Load) processes and data integration pipelines. Ensures efficient data flow across various sources and systems.
• Advanced File Processing: Develops extensible file processing pipelines that offer flexible, self-service artifact generation. Researches and evaluates file processing software based on fidelity, reliability, and performance criteria. Models file processing outcomes within an observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and automatic evaluation of file processors.
• Data Management: Crafts and orchestrates scaleout data pipelines that optimize serverless and containerized compute to balance cost, latency, and duration for big-data solutions. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshoots systems, identify root causes, and rectify bugs.

Who You Are 

• 10+ years of relevant experience in backend engineering, with a substantial focus on big data platforms.
• 7+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation.
• Experience with Large-Scale Systems: Involvement in developing, monitoring and maintaining large-scale, high-availability software systems.
• Experience designing and developing from a Security Perspective.
• Demonstrated experience in leading or playing key roles in significant software projects, showing an ability to work effectively both independently and as part of a team.
• Demonstrated expertise in designing, implementing, and maintaining (through operational observability) high-availability, high-performance, distributed data processing systems.
• Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication.
• Proven ability to deliver well-crafted, tested, and maintainable code solutions to complex technical challenges.
• Experience with a variety of software stacks including but not limited to, JVM-focused tech stacks, particularly server-side Kotlin and gRPC.
• Deep expertise with both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, and PostgreSQL.
• Experience delivering data platform software solutions (including designing, implementing, and operating) in the cloud.
• Knowledge of microservices architecture principles, including decentralized data management, service discovery, and bounded contexts. Skilled in microservices technology stack, ability to optimize performance, and ensure security and scalability across the system.
• Skilled in containerization technologies such as Docker and orchestration tools like Kubernetes.
• Experience in creating, deploying, and managing containers. Skilled in implementing RESTful APIs for outward-facing services and using gRPC for efficient internal service-to-service communication.
• Ability to build backend systems that can support future UI/UX initiatives and performance requirements.
• Knowledge of system architecture, design patterns, and best practices in software development.
• Skilled at designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP.
• Knowledge of both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL.
• Skilled at analytical abilities and problem-solving, capable of addressing complex technical challenges.
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#, as well as a deep understanding of software engineering principles.
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud).
• Knowledge of various stages of the SDLC, including design, development, testing, and deployment.
• Knowledge of async message or event based dataflow architectures (Kafka, etc).
• Knowledge of design, implementation, and operation of data-intensive, distributed systems.

Even Better If You Have

• Experience selecting and extending 3rd party components (commercial or open source) that
• provide operational leverage.
• Familiarity with Agile development methodologies and practices.
• Experience using feature or release toggles as a code branching strategy.
• Experience leveraging observability systems (logging, metrics, traces) to monitor and debug
• production subsystems and generate business level metrics.
• Experience with algorithmically intensive data engines operating on streaming, large, or
• multi-tenant datasets.
• Experience with designing, modifying, and operating multi-tenant systems.
• Experience with tools such as Envoy or AWS App Mesh.
• Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated
• testing and deployment of microservices.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Competitive salary plus RSUs
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

Job Summary

The Senior Engineering Manager is a key leadership role at the intersection of technical depth, people management, and product partnership. At Partnerize, we operate a high-scale platform processing over a billion daily events. You will be responsible for overseeing multiple cross-functional engineering teams through Engineering Managers, driving the development and execution of strategies that ensure high throughput, resilience, and observability. This is not a purely strategic role; you are a technical authority who leads through judgment, guiding architectural decisions and working closely with engineers on complex distributed systems.

The Things You Care About

At the heart of our platform, we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.

The primary technologies we use are PHP, Python, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid, and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.

As a Senior Engineering Manager at Partnerize, you will:

• Lead through Managers: Manage Engineering Managers and Agile Delivery Leads of cross-functional teams, owning delivery, quality, and system reliability.

• Act as Technical Authority: Guide architecture across backend and platform systems—not just reviewing it, but actively shaping the design of high-concurrency, event-driven systems.

• Partner with Product: Collaborate closely with Product leaders to shape roadmaps, challenge assumptions, and balance speed against scalability and technical debt.

• Drive Engineering Standards: Develop and maintain processes and best practices for distributed systems and APIs to enable high-quality software delivery at scale.

• Manage Outcomes: Take ownership of technical outcomes and system health, ensuring infrastructure is designed for resilience and observability.

• Nurture Talent: Act as a mentor and role model for Engineering Managers and senior engineers, strengthening both technical and leadership capability across the tribe.

• Foster Culture: Drive a culture of high ownership, accountability, and continuous improvement, ensuring engineering efforts align with organizational goals.

You are an experienced Engineering Leader with:

• Proven Management Scale: Experience leading multiple engineering teams (including managing other managers) in a fast-paced, product-led environment.

• Deep Technical Roots: A strong background in backend or platform engineering, with the demonstrable ability to design and critique distributed systems at scale.

• Architectural Mastery: Experience with event-driven architecture, real-time data processing, and making clear technical decisions under ambiguity.

• Strategic Partnership: A track record of working effectively with Product and stakeholders at all levels to balance performance, reliability, and cost.

• Pragmatic Problem Solving: The ability to move comfortably between high-level organizational strategy and low-level technical detail.

• Clear Communication: Exceptional interpersonal skills with the ability to explain complex trade-offs clearly without relying on others to define the direction.

Desired Qualifications & Competencies:

• Scaling Experience: You’ve personally designed systems that needed to scale—and you have seen exactly where they break.

• Conflict Resolution: You have challenged engineers or stakeholders when necessary and can articulate the technical or business reasoning behind it.

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).

• Agile & Lean Mastery: Practical experience driving efficiency using Agile principles and modern engineering practices (TDD, CI/CD, DDD).

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Job Summary

The Director of Engineering is a key leadership role at the intersection of technical depth, people management, and product partnership. At Partnerize, we operate a high-scale platform processing over a billion daily events. You will be responsible for overseeing multiple cross-functional engineering teams through Engineering Managers, driving the development and execution of strategies that ensure high throughput, resilience, and observability. This is not a purely strategic role; you are a technical authority who leads through judgment, guiding architectural decisions and working closely with engineers on complex distributed systems.

The Things You Care About

At the heart of our platform, we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.

The primary technologies we use are PHP, Python, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid, and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.

As a Director of Engineering at Partnerize, you will:

• Lead through Managers: Manage Engineering Managers and Agile Delivery Leads of cross-functional teams, owning delivery, quality, and system reliability.

• Act as Technical Authority: Guide architecture across backend and platform systems—not just reviewing it, but actively shaping the design of high-concurrency, event-driven systems.

• Partner with Product: Collaborate closely with Product leaders to shape roadmaps, challenge assumptions, and balance speed against scalability and technical debt.

• Drive Engineering Standards: Develop and maintain processes and best practices for distributed systems and APIs to enable high-quality software delivery at scale.

• Manage Outcomes: Take ownership of technical outcomes and system health, ensuring infrastructure is designed for resilience and observability.

• Nurture Talent: Act as a mentor and role model for Engineering Managers and senior engineers, strengthening both technical and leadership capability across the tribe.

• Foster Culture: Drive a culture of high ownership, accountability, and continuous improvement, ensuring engineering efforts align with organizational goals.

You are an experienced Engineering Leader with:

• Proven Management Scale: Experience leading multiple engineering teams (including managing other managers) in a fast-paced, product-led environment.

• Deep Technical Roots: A strong background in backend or platform engineering, with the demonstrable ability to design and critique distributed systems at scale.

• Architectural Mastery: Experience with event-driven architecture, real-time data processing, and making clear technical decisions under ambiguity.

• Strategic Partnership: A track record of working effectively with Product and stakeholders at all levels to balance performance, reliability, and cost.

• Pragmatic Problem Solving: The ability to move comfortably between high-level organizational strategy and low-level technical detail.

• Clear Communication: Exceptional interpersonal skills with the ability to explain complex trade-offs clearly without relying on others to define the direction.

Desired Qualifications & Competencies:

• Scaling Experience: You’ve personally designed systems that needed to scale—and you have seen exactly where they break.

• Conflict Resolution: You have challenged engineers or stakeholders when necessary and can articulate the technical or business reasoning behind it.

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).

• Agile & Lean Mastery: Practical experience driving efficiency using Agile principles and modern engineering practices (TDD, CI/CD, DDD).

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Our Technology

We leverage the latest tools and technologies to create a seamless, customer-centric digital experience. Our core stack is built around Node.js, TypeScript, and NestJS, with a front-end powered by React. We deploy using AWS cloud services and Kubernetes, ensuring scalability and resilience. Infrastructure as Code is fundamental to our approach, and we use Terraform to manage our cloud resources.

Our architecture is cloud-native, event-driven, and distributed, built on Amazon EventBridge and SQS, with services exposed via REST.

We are driven by data science, machine learning, and analytics, using multi-variant testing to personalise user experiences across every digital channel.

However, it’s not just about the technology. We are passionate about continuous delivery, automation, and rapid iteration. Our deployment pipeline is fully automated, covering everything from branching, building, testing, and shipping to monitoring and alerting—allowing us to focus on delivering value to our customers.

Technology is at the heart of our business, and we value diverse perspectives. Bring your ideas, experience, and problem-solving mindset—we’ll navigate obstacles together.

Technology:

• Platforms: Kubernetes (EKS) with Istio Service Mesh
• Observability: Datadog
• Databases: PostgreSQL (Aurora), Hashicorp Vault
• IaC: Terraform via Atlantis
• CI/CD: Github, Flux, Helm

What you’ll be doing;

• Helping to shape Super’s infrastructure from design to building and maintenance 
• Empowering our product teams to ship fast by building a top class developer experience
• Contributing to engineering-wide initiatives, participating in technical discussions, architecture decisions, and best practice sharing.
• Supporting the growth of our engineering community, sharing knowledge through pairing, talks, and external speaking opportunities.

We’d love to hear from you if you have the following:

• In depth experience and expertise in Infrastructure including IaC, CI/CD and Kubernetes
• Experience working with cloud platforms like Amazon Web Services (AWS)
• Ability to diagnose problems at any level with a focus on reliability & scalability
• Experience of working in Financial Services in areas like payments, wealth management, or banking.
• Knowledge of designing PCI-compliant infrastructure
• Are comfortable working in a fast-paced, evolving start-up environment.
• Can work independently, tackling ambiguous challenges and driving solutions forward